Surveillance cameras are one of the most underutilized assets. Surveillance systems in high camera count, critical infrastructure locations running 24/7 are either used for little more than retrospective analysis (triaging an event well after it has occurred); or are viewed on screens several at a time by operators prone to distraction and error. The technology exists to assist security personnel and scale notifications of events or objects of interest. In this presentation I will introduce the industry and show off several interesting applications using computer vision to solve real-world problems.

About the Presenter

Phil is a senior manager of data analytics for Patriot One Technology’s PATSCAN VRS™ system and was an instructor in the Department of Mathematics and Statistics at Acadia from 2013-2016. He holds a masters in applied mathematics, and a masters in statistics, and has applied his skill set to everything from computer vision to modelling forest fires and zombie outbreaks (though not all at the same time).